Evidence map›Paper›PMID 35541919›Full record

ReviewInternational journal of biological sciences2022

Tumor heterogeneity reshapes the tumor microenvironment to influence drug resistance.

Aiping Zhang, Kai Miao, Heng Sun, Chu-Xia Deng

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

217 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Association of tumor-infiltrating lymphocytes with clinical outcomes in patients with triple-negative breast cancer receiving neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. Pooled it
  3. Multilevel Mechanisms of Cancer Drug Resistance.International journal of molecular sciences · 2024
    Pooled it
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157 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Aiping ZhangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Kai MiaoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Heng SunCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Chu-Xia DengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor heterogeneity is one of the hallmarks of cancer and a challenge in the field of oncology. Tumor heterogeneity is the main cause of drug resistance, leading to therapeutic failure. Mechanically, tumor heterogeneity either directly affects therapeutic targets or shapes the tumor microenvironment (TME) by defining transcriptomic and phenotypic profiles to influence drug resistance. Tumor heterogeneity evolves spatially and temporally during tumor development, leading to the constant reprogramming of the TME. Advances in molecular profiling technologies and precision oncology platforms have allowed us to uncover the impact of tumor heterogeneity on drug resistance in the context of the TME. In this review, we focus on the processes during which genomic mutations drive tumor heterogeneity and the mechanisms through which tumor heterogeneity reprograms the TME to affect drug resistance and patient prognosis.

Indexed as

NeoplasmsTumor MicroenvironmentDrug ResistanceHumansPrecision Medicinedrug resistancetumor heterogeneitytumor microenvironment

Identifiers

PMID35541919
PMCPMC9066118

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.